Reduction of Noise Effect in Land-Buried Target Shape Recognition through Polari Metric GPR Images
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 2
Abstract
Abstract:A new treatment of the buried object shape retrieval and target recognition from noisy polarimetric GPR images is introduced. The construction of GPR system proposed for obtaining high resolution polarimetrictwo-dimensional crossrange images of objects buried under the surface of a ground soil is described. A granular noise filter (GNF) is introduced to get an image with increased signal-to-noise ratio (SNR). An algorithm to extract a two-dimensional shape of the buried object is introduced. A shape smoothing filter (SSF) is then applied for further elimination of the errors resulting due to granular noise effect on the two-dimensional shape retrieval process. A shape recognition algorithm is applied to compare the retrieved shape for the buried object to a reference target shape to take a match or mismatch decision. The proposed GPR antenna system and the suggested algorithms for noise reduction, shape extraction and target recognition are examined through FDTD simulation. The numerically obtained results show that proposed noise reduction technique with the proposed GPR system and the suggested algorithms for shape extraction and target shape recognition are efficient and successful in all the examined cases.
Authors and Affiliations
Khalid M. Ibrahim
Keywords
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